The NIH Office of Disease Prevention will continue its Methods: Mind the Gap webinar series on July 14 with “Overview of Statistical Models for the Design and Analysis of Stepped Wedge Cluster Randomized Trials.” Dr. Fan Li of Yale University, a longtime participant in the NIH Collaboratory’s Biostatistics and Study Design Core Working Group, will lead the webinar.

The Methods: Mind the Gap series explores research design, measurement, intervention, data analysis, and other methods of interest in prevention science. The July 14 session will address the stepped-wedge cluster randomized design, which has received increasing attention in pragmatic clinical trials (PCTs) and implementation science research. Since the design’s introduction, a variety of mixed-effects model extensions have been proposed for the design and analysis of PCTs. Dr. Li will provide a general model representation and discuss model extensions as alternative ways to characterize secular trends, intervention effects, and sources of heterogeneity. He will also review key model ingredients and clarify their implications for the design and analysis of stepped-wedge cluster randomized trials.

Register in advance to join the online presentation. Registration is required.